{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Subgraph as compiled graph sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "var userHomeDir = System.getProperty(\"user.home\");\n",
    "var localRespoUrl = \"file://\" + userHomeDir + \"/.m2/repository/\";\n",
    "var langchain4jVersion = \"1.0.1\";\n",
    "var langchain4jbeta = \"1.0.1-beta6\";\n",
    "var langgraph4jVersion = \"1.6-SNAPSHOT\";"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash \n",
    "rm -rf \\{userHomeDir}/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/bsc/langgraph4j"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%dependency /add-repo local \\{localRespoUrl} release|never snapshot|always\n",
    "// %dependency /list-repos\n",
    "%dependency /add org.slf4j:slf4j-jdk14:2.0.9\n",
    "%dependency /add org.bsc.langgraph4j:langgraph4j-core:\\{langgraph4jVersion}\n",
    "%dependency /add org.bsc.langgraph4j:langgraph4j-langchain4j:\\{langgraph4jVersion}\n",
    "%dependency /add dev.langchain4j:langchain4j:\\{langchain4jVersion}\n",
    "%dependency /add dev.langchain4j:langchain4j-open-ai:\\{langchain4jVersion}\n",
    "%dependency /add net.sourceforge.plantuml:plantuml-mit:1.2024.8\n",
    "\n",
    "%dependency /resolve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**utility to render graph respresentation in PlantUML**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import net.sourceforge.plantuml.SourceStringReader;\n",
    "import net.sourceforge.plantuml.FileFormatOption;\n",
    "import net.sourceforge.plantuml.FileFormat;\n",
    "import org.bsc.langgraph4j.GraphRepresentation;\n",
    "\n",
    "void displayDiagram( GraphRepresentation representation ) throws IOException { \n",
    "    \n",
    "    var reader = new SourceStringReader(representation.getContent());\n",
    "\n",
    "    try(var imageOutStream = new java.io.ByteArrayOutputStream()) {\n",
    "\n",
    "        var description = reader.outputImage( imageOutStream, 0, new FileFormatOption(FileFormat.PNG));\n",
    "\n",
    "        var imageInStream = new java.io.ByteArrayInputStream(  imageOutStream.toByteArray() );\n",
    "\n",
    "        var image = javax.imageio.ImageIO.read( imageInStream );\n",
    "\n",
    "        display(  image );\n",
    "\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Graph State**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import org.bsc.langgraph4j.prebuilt.MessagesState;\n",
    "import org.bsc.langgraph4j.state.Channel;\n",
    "\n",
    "public class State extends MessagesState<String> {\n",
    "\n",
    "    public State(Map<String, Object> initData) {\n",
    "        super( initData  );\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Utility action to simplify node creation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import org.bsc.langgraph4j.action.AsyncNodeAction;\n",
    "\n",
    "AsyncNodeAction<State> makeNode( String id ) {\n",
    "    return node_async(state ->\n",
    "            Map.of(\"messages\", id)\n",
    "    );\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create a subgraph as compiled graph**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import org.bsc.langgraph4j.StateGraph;\n",
    "import org.bsc.langgraph4j.action.AsyncNodeAction;\n",
    "import static org.bsc.langgraph4j.action.AsyncNodeAction.node_async;\n",
    "import static org.bsc.langgraph4j.action.AsyncEdgeAction.edge_async;\n",
    "import static org.bsc.langgraph4j.StateGraph.END;\n",
    "import static org.bsc.langgraph4j.StateGraph.START;\n",
    "\n",
    "var workflowChild = new StateGraph<>(State.SCHEMA, State::new)        \n",
    "                    .addNode(\"child:step_1\", makeNode(\"child:step1\") )\n",
    "                    .addNode(\"child:step_2\", makeNode(\"child:step2\"))\n",
    "                    .addNode(\"child:step_3\", makeNode(\"child:step3\"))\n",
    "                    .addEdge(START, \"child:step_1\")\n",
    "                    .addEdge(\"child:step_1\", \"child:step_2\")\n",
    "                    .addConditionalEdges(  \"child:step_2\",\n",
    "                                edge_async(state -> \"continue\"),\n",
    "                                Map.of( END, END, \"continue\", \"child:step_3\") )\n",
    "                    .addEdge(\"child:step_3\", END)\n",
    "                    ;\n",
    "var compiledWorkflowChild = workflowChild.compile();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create graph with a sub graph as compiled graph**\n",
    "> The subgraph will be executed independently to the parent sharing its state but not `CompileConfig`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NodeOutput{node=__START__, state={messages=[]}}\n",
      "NodeOutput{node=step_1, state={messages=[step1]}}\n",
      "NodeOutput{node=step_2, state={messages=[step1, step2]}}\n",
      "NodeOutput{node=__START__, state={messages=[step1, step2]}}\n",
      "NodeOutput{node=child:step_1, state={messages=[step1, step2, child:step1]}}\n",
      "NodeOutput{node=child:step_2, state={messages=[step1, step2, child:step1, child:step2]}}\n",
      "NodeOutput{node=child:step_3, state={messages=[step1, step2, child:step1, child:step2, child:step3]}}\n",
      "NodeOutput{node=__END__, state={messages=[step1, step2, child:step1, child:step2, child:step3]}}\n",
      "NodeOutput{node=subgraph, state={messages=[step1, step2, child:step1, child:step2, child:step3]}}\n",
      "NodeOutput{node=step_3, state={messages=[step1, step2, child:step1, child:step2, child:step3, step3]}}\n",
      "NodeOutput{node=__END__, state={messages=[step1, step2, child:step1, child:step2, child:step3, step3]}}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "var workflow = new StateGraph<>(State.SCHEMA, State::new)        \n",
    "                    .addNode(\"step_1\",  makeNode(\"step1\"))\n",
    "                    .addNode(\"step_2\",  makeNode(\"step2\"))\n",
    "                    .addNode(\"step_3\",  makeNode(\"step3\"))\n",
    "                    .addNode( \"subgraph\", compiledWorkflowChild )\n",
    "                    .addEdge(START, \"step_1\")\n",
    "                    .addEdge(\"step_1\", \"step_2\")\n",
    "                    .addEdge(\"step_2\", \"subgraph\")\n",
    "                    .addEdge(\"subgraph\", \"step_3\")\n",
    "                    .addEdge(\"step_3\", END)\n",
    "                    ;\n",
    "\n",
    "var compiledWorkflow = workflow.compile();\n",
    "\n",
    "for( var step : compiledWorkflow.stream( Map.of() )) {\n",
    "    System.out.println( step );\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Display StateGraph** as you defined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var representation = compiledWorkflow.getGraph( GraphRepresentation.Type.PLANTUML, \"sub graph\", false );\n",
    "\n",
    "displayDiagram( representation );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Display Compiled Graph result as graph processing**\n",
    "> in such case the result will be the same of previous one because no merge will be done"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var representation = compiledWorkflow.getGraph( GraphRepresentation.Type.PLANTUML, \"merged sub graph\", false );\n",
    "\n",
    "displayDiagram( representation );"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Java (rjk 2.2.0)",
   "language": "java",
   "name": "rapaio-jupyter-kernel"
  },
  "language_info": {
   "codemirror_mode": "java",
   "file_extension": ".jshell",
   "mimetype": "text/x-java-source",
   "name": "java",
   "nbconvert_exporter": "script",
   "pygments_lexer": "java",
   "version": "22.0.2+9-70"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
